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| Registros recuperados : 3 | |
| 1. |  | SOUZA, M. E. de; SILVA, A. C. da; SOUZA, A. P. de; TANAKA, A. A.; LEONEL, S. Influência das precipitações pluviométricas em atributos físico-químicos de frutos da goiabeira 'Paluma' em diferentes estádios de maturação. Revista Brasileira de Fruticultura, Jaboticabal, v. 32, n. 2, p. 637-646, jun. 2010. Também disponível em:.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 2. | | TANAKA, A. A.; SOUZA, A. P. de; KLAR, A. E.; SILVA, A. C. da; GOMES, A. W. A. Evapotranspiração de referência estimada por modelos simplificados para o Estado do Mato Grosso. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 51, n. 2, p. 91-104, fev. 2016 Título em inglês: Reference evapotranspiration estimated with simplified models for the state of Mato Grosso, Brazil.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 3. | | SOUZA, A. P. de; SILVA, A. C. da; TANAKA, A. A.; ULIANA, E. M.; ALMEIDA, F. T. de; KLAR, A. E.; GOMES, A. W. A. Global radiation by simplified models for the state of Mato Grosso, Brazil. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 52, n. 4, p. 215-227, abr. 2017. Título em português: Radiação global por modelos simplificados para o Estado de Mato Grosso.| Biblioteca(s): Embrapa Unidades Centrais. |
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| Registros recuperados : 3 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Unidades Centrais. |
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Data corrente: |
15/05/2017 |
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Data da última atualização: |
15/05/2017 |
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Autoria: |
SOUZA, A. P. de; SILVA, A. C. da; TANAKA, A. A.; ULIANA, E. M.; ALMEIDA, F. T. de; KLAR, A. E.; GOMES, A. W. A. |
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Afiliação: |
ADILSON PACHECO DE SOUZA, UFMT; ANDRÉA CARVALHO DA SILVA, UFMT; ADRIANA AKI TANAKA, UFMT; EDUARDO MORGAN ULIANA, UFMT; FREDERICO TERRA DE ALMEIDA, UFMT; ANTONIO EVALDO KLAR, UNESP; ANTHONY WELLINGTON ALMEIDA GOMES, UFRPE. |
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Título: |
Global radiation by simplified models for the state of Mato Grosso, Brazil. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, Brasília, DF, v. 52, n. 4, p. 215-227, abr. 2017. |
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Idioma: |
Inglês |
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Notas: |
Título em português: Radiação global por modelos simplificados para o Estado de Mato Grosso. |
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Conteúdo: |
The objective of this work was to estimate the global radiation by simplified models for the state of Mato Grosso, Brazil. The parameterized coefficients of 15 simplified models were regionally calibrated to estimate the daily global radiation, based only on air temperature, using data from 28 automatic weather stations (AWS) of the network of the Brazilian Meteorology Institute, distributed throughout the different biomes of the state of Mato Grosso. The simplified models are mostly derived from the Hargreaves and Bristow & Campbell methods, with different parameterized coefficients to be calibrated. The coefficient of determination (R2), the mean bias error (MBE), the root mean square error (RMSE), and Willmott’s d index were used to evaluate statistical performance. For the recommendation of models per station and/or biome, the models were rated numerically (position values) according to their specific performance in each statistical indicator. The simplified models derived from Bristow & Campbell showed better statistical performances for estimating daily global radiation. The values of the calibrated coefficients of the same model varied greatly among the AWS and biomes. The R2 values ranged from 0.60 to 0.75, indicating a satisfactory result for the obtained calibrations. The Bristow & Campbell model for the Amazon and the Cerrado and the Goodin model for the Cerrado are recommended, with scattering varying between 1.52 and 4.33 MJ m-2 per day and adjustments greater than 65%. MenosThe objective of this work was to estimate the global radiation by simplified models for the state of Mato Grosso, Brazil. The parameterized coefficients of 15 simplified models were regionally calibrated to estimate the daily global radiation, based only on air temperature, using data from 28 automatic weather stations (AWS) of the network of the Brazilian Meteorology Institute, distributed throughout the different biomes of the state of Mato Grosso. The simplified models are mostly derived from the Hargreaves and Bristow & Campbell methods, with different parameterized coefficients to be calibrated. The coefficient of determination (R2), the mean bias error (MBE), the root mean square error (RMSE), and Willmott’s d index were used to evaluate statistical performance. For the recommendation of models per station and/or biome, the models were rated numerically (position values) according to their specific performance in each statistical indicator. The simplified models derived from Bristow & Campbell showed better statistical performances for estimating daily global radiation. The values of the calibrated coefficients of the same model varied greatly among the AWS and biomes. The R2 values ranged from 0.60 to 0.75, indicating a satisfactory result for the obtained calibrations. The Bristow & Campbell model for the Amazon and the Cerrado and the Goodin model for the Cerrado are recommended, with scattering varying between 1.52 and 4.33 MJ m-2 per day and adjustments greater t... Mostrar Tudo |
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Palavras-Chave: |
Coeficiente parametrizado; Parameterized coefficients; Temperatura do ar. |
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Thesagro: |
Cerrado; Radiação solar. |
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Thesaurus NAL: |
Air temperature; Amazonia; Solar radiation. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/159881/1/Global-radiation-by-simplified.pdf
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Marc: |
LEADER 02482naa a2200301 a 4500
001 2069616
005 2017-05-15
008 2017 bl uuuu u00u1 u #d
100 1 $aSOUZA, A. P. de
245 $aGlobal radiation by simplified models for the state of Mato Grosso, Brazil.$h[electronic resource]
260 $c2017
500 $aTítulo em português: Radiação global por modelos simplificados para o Estado de Mato Grosso.
520 $aThe objective of this work was to estimate the global radiation by simplified models for the state of Mato Grosso, Brazil. The parameterized coefficients of 15 simplified models were regionally calibrated to estimate the daily global radiation, based only on air temperature, using data from 28 automatic weather stations (AWS) of the network of the Brazilian Meteorology Institute, distributed throughout the different biomes of the state of Mato Grosso. The simplified models are mostly derived from the Hargreaves and Bristow & Campbell methods, with different parameterized coefficients to be calibrated. The coefficient of determination (R2), the mean bias error (MBE), the root mean square error (RMSE), and Willmott’s d index were used to evaluate statistical performance. For the recommendation of models per station and/or biome, the models were rated numerically (position values) according to their specific performance in each statistical indicator. The simplified models derived from Bristow & Campbell showed better statistical performances for estimating daily global radiation. The values of the calibrated coefficients of the same model varied greatly among the AWS and biomes. The R2 values ranged from 0.60 to 0.75, indicating a satisfactory result for the obtained calibrations. The Bristow & Campbell model for the Amazon and the Cerrado and the Goodin model for the Cerrado are recommended, with scattering varying between 1.52 and 4.33 MJ m-2 per day and adjustments greater than 65%.
650 $aAir temperature
650 $aAmazonia
650 $aSolar radiation
650 $aCerrado
650 $aRadiação solar
653 $aCoeficiente parametrizado
653 $aParameterized coefficients
653 $aTemperatura do ar
700 1 $aSILVA, A. C. da
700 1 $aTANAKA, A. A.
700 1 $aULIANA, E. M.
700 1 $aALMEIDA, F. T. de
700 1 $aKLAR, A. E.
700 1 $aGOMES, A. W. A.
773 $tPesquisa Agropecuária Brasileira, Brasília, DF$gv. 52, n. 4, p. 215-227, abr. 2017.
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Embrapa Unidades Centrais (AI-SEDE) |
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